In computing, a pipeline, also known as a data pipeline,[1] is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel or in time-sliced fashion. Some amount of buff...
Pipelining is an ongoing, continuous process in which new instructions, or tasks, are added to the pipeline, and completed tasks are removed at a specified time after processing completes. The processor executes all the tasks in the pipeline in parallel, giving them the appropriate time based on...
Systems and methods for automatic generation of software pipelines for heterogeneous parallel systems (AHP) include pipelining a program with one or more tasks on a parallel computing platform with one or more processing units and partitioning the program into pipeline stages, wherein each pipeline ...
This cost model and our library could be used for large and parallel Data Base as in =-=[2]-=- where the authors used the BSP cost model to balance the communications and the local computation. 9. Conclusions and Future Works. The Bulk Synchronous Parallel ML allows direct mode BSP ...
and Cluster ComputingCollective communications are ubiquitous in parallel applications. We present two new algorithms for performing a reduction. The operation associated with our reduction needs to be associative and commutative. The two algorithms are developed under two different communication models (...
Languages and Compilers for Parallel Computing(LCPC 1995) Erik R. Altman, R. Govindarajan& Guang R. Gao Part of the book series:Lecture Notes in Computer Science((LNCS,volume 1033)) Included in the following conference series: International Workshop on Languages and Compilers for Parallel Computi...
ReconfigurableComputing TimothyJ.CallahanandJohnWawrzynek UniversityofCaliforniaatBerkeley ABSTRACT TheGarpcompilerandarchitecturehavebeendeveloped inparallel,inparttohelpinvestigatewhetherfeaturesof thearchitecturehelpfacilitaterapid,automaticcompila- tionutilizingtheGarp’srapidlyreconfigurablecoprocessor. ...
In Seventh Annual Workvhop on Lan- guages and Compilersfor Parallel Computing, Ithaca, USA, August 1994. 6. R. Govindarajan,Erik R. Altman, and Guang R. Gao. Minimizingregister requirements under resource- constrainedrate-optimal software pipelining. In Proc. ofthe 2 7th Annual Intl. Syrup....
In recent years a new category of data analysis applications have evolved, known as data pipelining tools, which enable even nonexperts to perform complex analysis tasks on potentially huge amounts of data. Due to the complex and computing intensive analysis processes and methods used, it is ofte...
1.A computer-implemented method comprising:determining, by one or more computer processors, a plurality of models to incorporate a plurality of determined features from a received dataset;generating, by one or more computer processors, an aggregated prediction utilizing each model, in parallel, in th...